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Requirements and responsibilities
Hello, Revenue Operations Manager!Freeosk is looking for a Revenue Operations Manager to meet our immediate growth needs. The ideal candidate will bring an innovation mindset to solve data and process problems with high accuracy and automation.This person will build and scale the operational backbone of Freeosk’s revenue engine by ensuring high data integrity, delivering clear and trusted insights, and supporting effective deal desk and sales process execution. This role enables confident decision-making across direct and partner-led revenue streams (focused on retail media), while driving efficiency, accuracy, and scalability across revenue systems and processes.We work in a distributed environment. Our office is in Chicago, but you can be located within the continental United States. There will be travel required to our Chicago office from time to time.The anticipated base salary range for this role is $105,000 to $125,000. Actual compensation will be determined based on skills and experience.Core Responsibilities1) Data Governance & System IntegrityOwn accuracy and integrity of the single source of truth of sold work across Salesforce, BI tools, and partner reporting by implementing data quality processes (audits, validations, reconciliations, exception tracking)Define and maintain data dictionaries, field definitions, and metric logic2) Data Analysis & ReportingDevelop and manage dashboards and reporting in BI tools (Quick Suite, Looker, etc.)Build and maintain standardized revenue reporting across products, partners, retailers, and media programs to deliver clear, actionable insights on pipeline, bookings, and performance on a regular cadence3) Sales Process & DocumentationDefine and maintain sales processes, SOPs, definitions and exception handling frameworks in Confluence to support org-wide clarity and AI enablement (e.g. Rovo and Copilot)Analyze sales process workflows and drive automation to identify risks, gaps, and opportunities to reduce process friction across Sales, Media, Finance, and partner teams4) Deal DeskServe as the primary escalation point for deal structuring and process exceptionsImprove deal cycle time, accuracy, and cross-functional coordination by partnering closely with Product, Tech, Sales, Finance, and Media teams on complex deals and revenue structures5) Revenue Operations Projects & EnablementLead cross-functional process improvement and automation initiatives aligned to growth priorities that support scalingIdentify, build and apply AI-enabled tools (Copilot, Rovo, etc.) to reduce manual work and data entry while maintaining accuracyOutcomesEstablish and maintain a trusted single source of truth across Salesforce, data marts, and BI reporting with consistent, explainable metricsSuccessfully support key partner integrations (e.g., Sam’s Club Connect, etc.) with accurate reporting and minimal manual reconciliationDeliver standardized reporting and insights that are consistently used by internal and external partner teams via scalable systems and dashboardsImplement a clear data governance framework (definitions, QA processes, ownership) adopted across GTM teamsIdentify and resolve data quality and visibility issues that impact revenue, campaign management, partner trust, or revenue reportingRun a high-functioning deal desk process that improves contract accuracy, post-contracting change management, and meets cross-functional and partner needsLead high-impact RevOps projects that improve automation, system integrations, and operational efficiencyExperienceRequired4-8+ years in Revenue Operations, Sales Operations, Business Analytics, or similar3+ years working in Salesforce (reporting, data management; CPQ preferred)Proven ability to work with complex, multi-source datasetsStrong experience with data validation, reconciliation, and QA processesExperience owning projects end-to-end and driving adoptionExcellent communication and stakeholder management skillsVery high attention to detailPreferredExperience in media sales, advertising, or retail advertising environmentsExposure to retail media networks (RMNs) or partner-led GTM models in the online media or digital out-of-home (DOOH) spaceFamiliarity with automation and AI-enabled workflowsCore ToolsCRM: SalesforceBI: Quick Suite, LookerAnalysis: Excel, Google SheetsERP: NetSuitePM & Documentation: Jira, Confluence, SlackAI: Copilot, Rovo, and workflow other automation toolsReporting StructureReports to: Director, Revenue OperationsPeers: Media Planning, Salesforce AdministrationOur BenefitsCompetitive pay401(k) Match ProgramMedical, Dental, Vision InsuranceWork From Home StipendShort-Term and Long-Term DisabilityLife InsurancePaid Time OffVolunteer OpportunitiesSummer HoursParental LeaveTuition ReimbursementSabbatical ProgramProfessional DevelopmentWellness StipendSocial eventsWho Are We?Freeosk Experiential Retail Media® is a marketing technology platform helping brands and retailers influence shopper behavior through immersive, in-store discovery. By combining physical product trial, digital media, and identity-based measurement, Freeosk transforms everyday product moments into opt-in, high-impact engagements that convert curiosity into purchase and engagement into measurable business outcomes.With more than a decade of in-store experience and millions of one-to-one shopper interactions, Freeosk is leading discovery at scale across top retail environments. From Fortune 100 brands to emerging innovators, we partner with marketers and retail media networks to drive incremental sales through identifiable, closed-loop experiences that bridge physical and digital.Headquartered in Chicago, Freeosk employees can be found all across the country thanks to our flex-work structure. This has allowed us to create an authentic, cross-disciplinary team of engineers, creatives, strategists, data scientists, and retail experts. As retail media evolves, Freeosk is redefining what in-store engagement can be when physical interactions fuel digital intelligence.Freeosk is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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